[HTML][HTML] An integrated imaging sensor for aberration-corrected 3D photography
Planar digital image sensors facilitate broad applications in a wide range of areas,,,–, and
the number of pixels has scaled up rapidly in recent years,. However, the practical …
the number of pixels has scaled up rapidly in recent years,. However, the practical …
Review of light field technologies
Light fields are vector functions that map the geometry of light rays to the corresponding
plenoptic attributes. They describe the holographic information of scenes by representing …
plenoptic attributes. They describe the holographic information of scenes by representing …
[HTML][HTML] Light field depth estimation: A comprehensive survey from principles to future
Light Field (LF) depth estimation is an important research direction in the area of computer
vision and computational photography, which aims to infer the depth information of different …
vision and computational photography, which aims to infer the depth information of different …
Light field spatial super-resolution using deep efficient spatial-angular separable convolution
Light field (LF) photography is an emerging paradigm for capturing more immersive
representations of the real world. However, arising from the inherent tradeoff between the …
representations of the real world. However, arising from the inherent tradeoff between the …
Fast light field reconstruction with deep coarse-to-fine modeling of spatial-angular clues
Densely-sampled light fields (LFs) are beneficial to many applications such as depth
inference and post-capture refocusing. However, it is costly and challenging to capture them …
inference and post-capture refocusing. However, it is costly and challenging to capture them …
A novel occlusion-aware vote cost for light field depth estimation
Capturing the directions of light by light field cameras powers next-generation immersive
multimedia applications. A critical problem in taking advantage of the rich visual information …
multimedia applications. A critical problem in taking advantage of the rich visual information …
Colour light field image encryption based on DNA sequences and chaotic systems
The light field image (LFI) information includes the intensity of the collected object and the
direction of the light through recording. An LFI with a 4-D scene representation includes a 2 …
direction of the light through recording. An LFI with a 4-D scene representation includes a 2 …
MLDA-Net: Multi-level dual attention-based network for self-supervised monocular depth estimation
The success of supervised learning-based single image depth estimation methods critically
depends on the availability of large-scale dense per-pixel depth annotations, which requires …
depends on the availability of large-scale dense per-pixel depth annotations, which requires …
Deep spatial-angular regularization for light field imaging, denoising, and super-resolution
Coded aperture is a promising approach for capturing the 4-D light field (LF), in which the 4-
D data are compressively modulated into 2-D coded measurements that are further decoded …
D data are compressively modulated into 2-D coded measurements that are further decoded …
Learning sub-pixel disparity distribution for light field depth estimation
Light field (LF) depth estimation plays a crucial role in many LF-based applications. Existing
LF depth estimation methods consider depth estimation as a regression problem, where a …
LF depth estimation methods consider depth estimation as a regression problem, where a …